Privacy Protection from Sampling and Perturbation in Survey Microdata
نویسندگان
چکیده
منابع مشابه
Privacy Protection from Sampling and Perturbation in Survey Microdata
Statistical agencies release microdata from social surveys as public-use files after applying statistical disclosure limitation (SDL) techniques. Disclosure risk is typically assessed in terms of identification risk, where it is supposed that small counts on cross-classified identifying key variables, i.e., a key, could be used to make an identification and confidential information may be learn...
متن کاملMicrodata Protection
Governmental, public, and private organizations are more and more frequently required to make data available for external release in a selective and secure fashion. Most data are today released in the form of microdata, reporting information on individual respondents. The protection of microdata against improper disclosure is therefore an issue that has become increasingly important and will co...
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Advances in data mining techniques have raised growing concerns about privacy of personal information. Organizations that use their customers’ records in data mining activities are forced to take actions to protect the privacy of the individuals involved. A common practice for many organizations today is to remove the identity-reated attributes from customer records before releasing them to dat...
متن کاملFuzzy Microaggregation for Microdata Protection
In this work we describe a microdata protection method based on the use of fuzzy clustering and, more specifically, using fuzzy c-means. Microaggregation is a well-known masking method for microdata protection used by National Statistical Offices. Given a set of objects described in terms of a set of variables, this method consists on building a partition of the objects and then replace the ori...
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Recent advances in computer vision technologies have made possible the development of intelligent monitoring systems for video surveillance and ambientassisted living. By using this technology, these systems are able to automatically interpret visual data from the environment and perform tasks that would have been unthinkable years ago. These achievements represent a radical improvement but the...
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ژورنال
عنوان ژورنال: Journal of Privacy and Confidentiality
سال: 2012
ISSN: 2575-8527
DOI: 10.29012/jpc.v4i1.615